Left Atrial and Scar Quantification and Segmentation

Chapter 1 LASSNet: A Four Steps Deep Neural Network for Left Atrial Segmentation and Scar Quantification

Chapter 2 Multi-depth Boundary-Aware Left Atrial Scar Segmentation Network

Chapter 3 Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation

Chapter 4 UGformer for Robust Left Atrium and Scar Segmentation Across Scanners

Chapter 5 Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-Focused nnU-Net

Chapter 6 Two Stage of Histogram Matching Augmentation for Domain Generalization: Application to Left Atrial Segmentation

Chapter 7 Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing

Chapter 8 LA-HRNet: High-Resolution Network for Automatic Left Atrial Segmentation in Multi-center LEG MRI

Chapter 9 Edge-Enhanced Feature Guided Joint Segmentation of Left Atrial and Scars in LGE MRI Images

Chapter 10 TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium

Chapter 11 Deep U-Net Architecture with Curriculum Learning for Left Atrial Segmentation

Chapter 12 Cross-Domain Segmentation of Left Atrium Based on Multi-scale Decision Level Fusion

Chapter 13 Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation

Chapter 14 Automated Segmentation of the Left Atrium and Scar Using Deep Convolutional Neural Networks

Chapter 15 Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge